Artificial Intelligence Stock Market: Algorithmic Analysis of Humans and Their Behavior

taliTali Soroker is a Financial Analyst at I Know First.
  • Algorithms are being used every day to analyze human behavior and decision-making
  • Companies use these algorithms to reach relevant customers and expand their reach
  • AI could prove to be beneficial to employers seeking a diverse and successful company
  • Using Algorithms to analyze human thought process can help investors make profitable stock trades
  • Companies are using AI and algorithmic systems to analyze human behavior in the stock market to make accurate forecasts of stock trends

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Deep Learning Finance: Artificial Neural Networks, Deep Learning and Applications of Deep Learning in Finance

taliTali Soroker is a Financial Analyst at I Know First. She holds a B.S. Mathematics from Northeastern University

Deep Learning Finance

Summary:
  • Artificial Neural Networks Overview
  • ANNs Vs. Conventional Computing
  • Structure and Backpropagation
  • Deep Learning
  • Applications in Finance and Other Areas

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Algorithmic Trading: Machines Account for Upwards of 80% of Trades in the USA

Algorithmic Trading:

“Eighty percent of daily volume in the U.S. is done by machines” - Guy De Blonay, fund manager at Jupiter Asset Management

Summary:

  • New long-term strategies are being built around algorithmic trading and machine trading is now slowly eating further into long term investments.
  • The volume of trades in the USA done by machines can be up to 80% according to recent claims.
  • Blackrock are set to give a number of their financial analysts the boot in favour of a more updated trading strategy that draws on machines and Artificial Intelligence.
  • I Know First’s state of the art algorithm, uses Artificial Intelligence and self-learning capabilities to predict asset price movements in the market today.

Source: Flickr

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Stock Filtering by the I Know First Signal and Predictability Indicators

Dario Biasini is a Research Analyst at I Know First.





Summary
We expand on research performed in previous articles by further exploring the effect and interpretation of the I Know First prediction measures and how these can be used for stock filtering. We show that as predictability and signal strength increase the average trade returns based on these indicators grow in a consistent, significant, and robust manner and that by daily selecting stocks with the highest predictabilities and signals average returns significantly above those of S&P500 Index can be achieved.
  • Analysis of the Returns Generated by Filtering S&P500 Stocks using the I Know First Signal and Predictability Indicators
  • Comparison of the Compounded Returns Generated by using the I Know First Signal and Predictability Indicators against those of the whole S&P500 Stock Universe

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Deep Learning Finance: Revolutionizing The Market Today

This article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at the undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Deep Learning Finance

Summary
  • How Deep Learning developed from AI
  • The evolution of Deep Learning in the market
  • How the finance sector has begun to further take advantage of Deep learning
  • I Know First implementation of Deep Learning to better forecast financial markets

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Understanding Stock Market Prediction Using Artificial Neural Networks and Their Adaptation

taliTali Soroker is a Financial Analyst at I Know First. She graduated from Northeastern University with a Bachelor degree in Mathematics.

Stock Market Prediction Using Artificial Neural Networks

Summary:
  • Artificial Neural Networks
  • General Applications
  • Different Types of ANNs
    • Feed-Forward ANNs
    • RBF Neural Networks
    • MLP Neural Networks
    • RNNs
  • Neural Networks and Finance

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Deep Learning Algorithms: The Future of Financial Investment?

    The article was written by Harry Chiang, a Financial Analyst at I Know First.

Deep Learning & Finance

Summary:
  • What is Deep Learning?
  • Deep Learning Applications Today
  • Deep Learning & Financial Markets
  • I Know First's Role in the Machine-Learning World

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Why Machine Learning Is Important In The Future

“There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035.” —Gray Scott

Summary

  • How Neurons Build A Neural Network
  • Difference Between Unsupervised And Supervised Learning
  • For Google Machine Learning Is The Future
  • I Know First Predictive Algorithm

How Neurons Build A Neural Network

[Image Source: medium.freecodecamp.org]

A Neuron can simply be described as a function. A function is a fancy name for something that takes some input, applies some logic, and outputs the result. A Neuron can also be determined as one learning unit. The crucial part is to understand what a learning unit (function) is, then we will understand the basic building block of a Neural Network. A function is basically a relationship between two variables usually denoted

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